Ke Wen
where else to find them
no profile links on file
what they talk about
where they keep going back
no series more than once β all 3 in the filters
on a stage with
- Chien-Chin Huangonce
- D. Vega-Myhreonce
- Hanyue Heonce
all 6 in the filters
who talks about the same things
- Chien-Chin Huang3 talks
- Liz Li2 talks
- Wanchao Liang2 talks
- Elias Ellison3 talks
- Michael Suo6 talks
- Mark Saroufim5 talks
| title | conference | date |
|---|---|---|
| π Advanced NCCL Tutorial: Beyond Collectives | KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 | 2026-09-07 |
NCCL now exposes device-side primitives that let CUDA kernels read/write remote buffers and drive RDMA: symmetric memory avoids per-call registration to cut⦠| ||
| PyTorch Symmetric Memory + NCCL Device APIs: A New Path Towards Multi-GP... | PyTorch Conference Europe 2026 | 2026-04-07 |
A new stack enables direct GPU-to-GPU memory access without CPU involvement using PyTorch Symmetric Memory for symmetric tensors and NCCL device APIs (LSA⦠| ||
| PyTorch Symmetric Memory: A New Programming Paradigm for Distributed AI | PyTorch Conference 2025 | 2025-10-22 |
PyTorch adds Symmetric Memory: a global GPU address space that lets device kernels read/write peer GPU memory directly and author custom communication logic in⦠| ||
| PyTorch APIs for High Performance MoE Training and Inference | PyTorch Conference 2025 | 2025-10-22 |
PyTorch adds GPU-native all_to_all_2d dispatch/combine that returns device-side offsets to avoid host-device syncs and to place per-expert tokens contiguously⦠| ||
| nothing matches | ||